The aim of this workflow is to handle the routine part of shotgun metagenomics data processing. The workflow is using the tools Kraken2 and Bracken for taxonomy classification and the KrakenTools to evaluate diversity metrics. This workflow was tested on Galaxy Australia. A How-to guide for the workflow can be found at: https://github.com/vmurigneu/kraken_howto_ga_workflows

Taxonomic classification and profiling of shotgun metagenomic data

A pipeline to identify (and remove) certain sequences from raw genomic data. Default taxa to identify (and remove) are Homo and Homo sapiens. Removal is optional.

The aim of this workflow is to handle the routine part of shotgun metagenomics data processing on Galaxy Australia.

The workflow is using the tools MetaPhlAn2 for taxonomy classification and HUMAnN2 for functional profiling of the metagenomes. The workflow is based on the Galaxy Training tutorial 'Analyses of metagenomics data - The global picture' (Saskia Hiltemann, Bérénice Batut) https://training.galaxyproject.org/training-material/topics/metagenomics/tutorials/general-tutorial/tutorial.html#shotgun-metagenomics-data. ...

Shotgun Metagenomics Analysis

Analysis of metagenomic shotgun sequences including assembly, speciation, ARG discovery and more

Description

The input for this analysis is paired end next generation sequencing data from metagenomic samples. The workflow is designed to be modular, so that individual modules can be run depending on the nature of the metagenomics project at hand. More modules will be added as we develop them - this repo is a work in progress!

These scripts have been written ...